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st: R: Poisson Regression

 From "Carlo Lazzaro" To Subject st: R: Poisson Regression Date Mon, 14 Feb 2011 09:27:44 +0100

```Dear Alexandra,
from your post it's difficult for me to give you a fruitful advice.
Besides, you should have better posted the link to the BMC article you
mention (or full reference of it). Please do not assume that all the
Statalisters are familiar with the literature of your research field.

- I am not clear about what your dependent variable (depvar) is (time??).
Poisson regression requires count or rates as depvar (eg: number of
specialist visits; number of lab tests; incidence-rate ratio just to limit
the examples to your seemingly research field).

- A comprehensive textbook about Poisson regression and related stuff is:
Cameron AC, Trivedi PK. Regression analysis of count data. Cambridge
University Press, 1998.

- As far as epidemiological analysis with Stata is concerned (Poisson
regression included), I would refer you to: Juul S. An Introduction to Stata
for Health Researchers. Stata Press Publication, 2006.
Link to http://www.stata.com/bookstore/ and search for the latest edition of
this very useful textbook.

Kindest Regards,
Carlo

-----Messaggio originale-----
Da: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Alexandra Boing
Inviato: domenica 13 febbraio 2011 21.09
A: statalist@hsphsun2.harvard.edu
Oggetto: st: Poisson Regression

I would like to know how to proceed and the justication Mathematical and
Statistical. My dependent variable is spent on health (0=No   1=Yes). The
prevalence was higher than 10 percent. Can I do Poisson regression?
According to this paper published in BMC on line in 2003, registred
PMC521200 I can do Poisson regression with variable (0=No  1=Yes) and with
prevalence higher than 10 percent, but other authors report that only I can
do Poisson regression with the dependent variable= discrete variable and
prevalence under 10 percent.
Which is correct? And what is the explanation Mathematical and
Statistical?Thanks, Alexandra

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